76 to 100 of 423 Artificial Intelligence Engineering Jobs in London

design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities Deliver AI/ML projects through the ML development life cycle using Agile methodology Transform business requirements … AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking ...

operating advanced large language model solutions and contributing to scalable, production-ready data platforms. We’re particularly interested in candidates who combine deep AI engineering knowledge with strong production-level software development skills and an understanding of how to integrate, monitor and evaluate AI systems effectively. The Opportunity … strong Python development skills and significant hands-on experience designing and operating large language models. You will also have: Extensive practical experience within AI engineering, particularly involving large language models. Strong proficiency in Python and production-level software development. Experience using LangSmith, Braintrust, Arize or similar AI observability ...

solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance. Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads ...

engineering patterns (security, performance, maintainability). Experience with Datadog for complex observability, tracing, and monitoring in AI environments. Familiarity with foundational AI engineering tooling like Pydantic AI, LiteLLM, or LangChain. Are you ready for a career with us? We want to ensure you have the right … identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. *Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with ...

engineering capability responsible for delivering complex AI solutions into enterprise environments. This is a rare opportunity to define how AI engineering is delivered across major organisations while building a high‐performing team from the ground up. This role combines engineering leadership, technical strategy … enough to delivery to influence architecture, engineering quality and client outcomes. Skills and Experience Extensive experience leading software engineering, AI engineering or enterprise architecture teams Proven track record of building and scaling high‐performing engineering organisations Strong knowledge of modern AI technologies ...

acumen and problem-solving skills. The ideal candidate should possess strong knowledge of the Databricks Data Intelligence Platform and the modern data & AI engineering practices, complemented by a keen ability to translate complex business requirements into robust, scalable Data & AI solutions that create trusted data foundations, AI … analytics solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL.Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing, deployment, operational readiness and continuous improvement.Work directly with clients and stakeholders to understand ...

design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities: Deliver AI/ML projects through the ML development life cycle using Agile methodology Transform business requirements … AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking ...

acumen and problem-solving skills. The ideal candidate should possess strong knowledge of the Databricks Data Intelligence Platform and the modern data & AI engineering practices, complemented by a keen ability to translate complex business requirements into robust, scalable Data & AI solutions that create trusted data foundations, AI … solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL. Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing, deployment, operational readiness and continuous improvement. Work directly with clients and stakeholders ...

genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high‐quality work and driving forward best practices in software engineering. Stays up to date with ...

that period.RequirementsYou will combine hands-on architecture with senior leadership, owning complex areas of delivery and bringing the best of modern data and AI engineering to public sector and regulated clients.You will have:- Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery- Expertise ...

Lead AI Engineer This is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across … ability to engage technical and non-technical stakeholders Experience within enterprise-scale organisations, ideally in regulated environments Exposure to AWS and modern AI engineering practices is highly desirable ...

will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross-sector model gives … threads: set technical direction, mentor engineers, and ensure systems are production-ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership. Shape engineering approaches; engage senior stakeholders; articulate trade-offs; ensure engineering ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).Job DescriptionAs our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions … based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.Translate solution designs into clean, well-documented, production-minded code.Contribute to model evaluation, testing, and monitoring.Support ...

AI Engineer - LLMs, NLP & Market Intelligence Location: London – hybrid, 2+ days a week in our Vauxhall office Employment type: Full-time, permanent Experience: Typically 2–4 years Build AI systems that interpret global markets in real time Permutable is building market intelligence infrastructure that helps financial institutions understand … production. What we’re looking for You will probably have around 2-4 years of professional software engineering, machine learning or AI engineering experience, although we care more about the quality of your experience than the exact number of years. You should have: Excellent Python skills. ...

teams and lines of business. Identify engineering and operational improvement opportunities, articulate recommendations and lead delivery of improvement initiatives across the AI engineering practice. Continuously evaluate emergent capabilities of WTW AI platforms--defining adoption strategies and roadmaps to accomplish business outcomes. Maintain a strong information security … variable regional requirements in the implementation of centralized enterprise assets. Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. Practical experience designing, building and deploying AI agents using enterprise AI ...

specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. The Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that … Provisioning to ensure AI-ready data, reusable, governed structured and unstructured data pipelines feeding models, agents and analytics across the Group.Define and enforce AI engineering standards, deployment patterns, integration patterns, testing and evaluation frameworks, and contribute AI/data positions to the Architecture Forum's buy-vs-build ...

specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. The Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that … ensure AI-ready data, reusable, governed structured and unstructured data pipelines feeding models, agents and analytics across the Group. Define and enforce AI engineering standards, deployment patterns, integration patterns, testing and evaluation frameworks, and contribute AI/data positions to the Architecture Forum's buy-vs-build ...

responsible for accelerating responsible AI adoption while ensuring alignment with MUFG's AI policy, data governance, technology standards, control framework, Global Markets AI engineering standards and risk appetite. The role will identify and prioritise high-value AI use cases, with clear linkage to control effectiveness, conduct governance, employee … GenAI – Experience implementing generative AI or agentic AI solutions in enterprise environments. Knowledge workflows – Experience with retrieval-augmented generation, vector search, knowledge management, document intelligence or workflow orchestration. Regulated industry – Experience in banking, capital markets, financial services or another highly regulated industry. Platforms – Experience with cloud platforms, data platforms ...

ahealing infrastructure. You will be expected to write production-grade code daily, design agentic workflows, and contribute meaningfully to the evolution of our AI engineering practices across Citi's technology hub. The role requires a comprehensive understanding of multiple areas within a function and how they interact … environment, maintaining in-depth understanding of compliance requirements and their implications for system design and data handling. Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence. Avidly communicates progress and project status ...

looking for a Senior Engineering Lead to build and lead our AI engineering team in FinTech and Fashion Tech at ASOS, the technology teams behind Finance and our Commercial, Buying and Merchandising functions. This is a hands on engineering leadership role. You\'ll line … team know if you need any adjustments throughout the process in whatever way works best for you. You will build and lead the AI engineering capability for two of the most important areas of ASOS, and shape how the team works from the ground up. ...

AmericaQuartz ranked us the #1 best company for remote workersResponsibilitiesWe are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. … Intelligence, Machine Learning, or a related field.A total of 4+ years of relevant experience in design, development, and implementation.Proven experience in AI engineering, with a focus on agent-based systems.Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.Knowledge of implementing integration ...

ahealing infrastructure. You will be expected to write production-grade code daily, design agentic workflows, and contribute meaningfully to the evolution of our AI engineering practices across Citi's technology hub.The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve … financial environment, maintaining in-depth understanding of compliance requirements and their implications for system design and data handling.Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence.Avidly communicates progress and project status across ...

scalable, compliant solutions globally Act as a link between engineering, product, data science ensuring solutions move beyond prototypes into sustainable production AI & Engineering Leadership Design, develop and maintain production-grade AI applications and services using modern engineering practices (cloud-native design, CI/… operational oversight of our vendors/partners Building a high-performing team Provide technical leadership, coaching and mentorship across engineering, data science, and solution teams. Inspiring and motivating a permanent team, and third-party project resources, to deliver great results Develop a safe, inclusive, high-performance environment where ...

lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You'll partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped … rollout.Established or improved at least one team practice for building AI systems (evals, observability patterns, prompt management, rollout safety).Mentored junior engineers on AI engineering practices and contributed to their growth.Built strong working relationships across product, web engineering, data engineering, and DevOps.Started to influence ...

lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You'll partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped … Established or improved at least one team practice for building AI systems (evals, observability patterns, prompt management, rollout safety).Mentored junior engineers on AI engineering practices and contributed to their growth. Built strong working relationships across product, web engineering, data engineering, and DevOps. Started ...